Dynamic autonomous vehicle fleet operations: optimization-based strategies to assign AVs to immediate traveler demand requests
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Optimization-based vehicle assignment strategies that consider both unassigned and assigned travellers are more efficient in reducing fleet miles and traveller waiting times, but only in case of high fleet utilization.
“The study concludes that optimization-based strategies that consider both unassigned and assigned travellers (strategies 4 -6) are more efficient in terms of reducing fleet miles and traveller waiting times.However, this is true only in case of high fleet utilization.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Hyland & Mahmassani (2018)
Assigning nearest idle SAV is comparable to complex strategies in case of low fleet utilization.
“Assigning nearest idle SAV is comparable to the complex strategies in case of low fleet utilization.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Hyland & Mahmassani (2018)
The citation lists haven’t been fetched yet
References 56 · Cited by 286
- Authors
- Hyland, M., & Mahmassani, H. S.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Mahmassani, Hani S.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 92
- Pages
- 278-297
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2789002740
- Cited by
- 286
- References
- 56
- Citations by year
- 2026: 30 · 2025: 21 · 2024: 32 · 2023: 39 · 2022: 36 · 2021: 52 · 2020: 45 · 2019: 25 · 2018: 6
- FWCI
- 16.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Part C Emerging Technologies (publishedVersion)
- Funders
- Northwestern University Transportation Center
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Vehicle Routing Optimization Methods
- Keywords
- autonomous vehicles, peak load, fleet utilization, ride-hailing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
